Approximate Bayesian computation (ABC) is a family of computational techniques in Bayesian statistics. These simulation techniques operate on summary data (such as population mean, or variance) to make broad inferences with less computation than might be required if all available data were analyzed in detail.

See also

Markov chain Monte Carlo

References

• (The link is to a preprint.)

Softwares

DIYABC : "Do it yourself ABC".

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